In [2]:
import pandas as pd
import plotly.graph_objs as go
import plotly.express as px
import plotly.io as pio
pio.templates.default = "plotly_white"
import os
In [3]:
os.getcwd()
Out[3]:
'C:\\Users\\LENOVO'
In [4]:
os.chdir('C://Users//LENOVO//Downloads')
In [5]:
data= pd.read_csv('UK_monthly_gdp.csv')
print (data.head())

  Time Period  GDP Growth
0    /01/2020         0.3
1    /02/2020        -0.5
2    /03/2020        -7.0
3    /04/2020       -20.9
4    /05/2020         3.2
In [6]:
fig = go.Figure(data=go.Heatmap(
                   z=[data['GDP Growth']],
                   x=data.index,
                   y=['GDP Growth'],
                   colorscale='Viridis'))

fig.update_layout(title= 'GDP Growth over time',
                  xaxis_title='Time Period',
                  yaxis_title='')
fig.show()
In [7]:
data['Time Period'] = pd.to_datetime(data['Time Period'], format='/%m/%Y')
data.set_index('Time Period', inplace=True)
quarterly_data = data.resample('Q').mean()
print(quarterly_data.head())

             GDP Growth
Time Period            
2020-03-31    -2.400000
2020-06-30    -2.900000
2020-09-30     3.500000
2020-12-31     0.200000
2021-03-31     0.033333
In [8]:
quarterly_data['Recession'] = ((quarterly_data['GDP Growth']<0) & (quarterly_data['GDP Growth'].shift(1)<0))
In [9]:
quarterly_data['Recession'].fillna(False,inplace=True)
In [10]:
fig = go.Figure()
fig.add_trace(go.Scatter(x=quarterly_data.index, 
                         y=quarterly_data['GDP Growth'], 
                         name='GDP Growth', 
                         line=dict(color='green', width=2)))

fig.add_trace(go.Scatter(x=quarterly_data[quarterly_data['Recession']].index, 
                         y=quarterly_data[quarterly_data['Recession']]['GDP Growth'], 
                         name='Recession', line=dict(color='red', width=2)))

fig.update_layout(title='GDP Growth and Recession over Time (Quarterly Data)',
                  xaxis_title='Time Period',
                  yaxis_title='GDP Growth')

fig.show()
In [11]:
quarterly_data['Recession Start'] = quarterly_data['Recession'].ne(quarterly_data['Recession'].shift()).cumsum()
recession_periods = quarterly_data.groupby('Recession Start')
recession_duration = recession_periods.size()
recession_severity = recession_periods['GDP Growth'].sum()

fig = go.Figure()
fig.add_trace(go.Bar(x=recession_duration.index, y=recession_duration,
                     name='Recession Duration'))
fig.add_trace(go.Bar(x=recession_severity.index, y=recession_severity,
                     name='Recession Severity'))

fig.update_layout(title='Duration and Severity of Recession',
                  xaxis_title='Recession Periods',
                  yaxis_title='Duration/Severity')

fig.show()
In [ ]: